Department of Medicine and Surgery, University of Parma, Via Antonio Gramsci 14, 43126, Parma, PR, Italy.
Institute for Biomedicine of Aging, Friedrich-Alexander-University, Nuremberg, Germany.
Aging Clin Exp Res. 2022 Jul;34(7):1563-1571. doi: 10.1007/s40520-021-02061-0. Epub 2022 Feb 8.
Demographic changes in the western world entail new clinical approaches and challenges in older persons. Low skeletal muscle mass and low physical performance in older persons are both predisposing conditions for disability and obtaining knowledge in this cohort is essential.
The primary aim of the study was to analyze a broader spectrum of gait characteristics within this specific population and differentiate them across different test conditions.
Two centers participating at the SPRINTT project with hi-tech gait analysis available conducted a cross-sectional descriptive study on N = 115 community-dwelling older persons with low muscle mass and physical performance. Reference values of 13 gait parameters were collected across different conditions: usual gait speed, fast gait speed, and usual gait speed while simultaneously naming animals.
This study shows the first spatio-temporal reference values in a community-dwelling older population composed of individuals with low skeletal muscle mass and low physical performance. In comparison to the normative spatio-temporal gait parameters in older persons reported in the literature, this population showed some differences. The mean gait speed was lower than 1 m/s, considered as a cutoff for vulnerable community-dwelling individuals, which corresponds to a greater risk of falls, hospitalization, and mortality. The stride length variability was higher, exposing to a greater risk of falling, and was also associated with a higher risk of developing cognitive decline.
This study represents the first step in the development of quantitative reference values in community-dwelling older persons with low physical performance and low skeletal muscle mass.
西方世界的人口结构变化给老年人带来了新的临床方法和挑战。老年人的低骨骼肌量和低身体表现都是导致残疾的诱发因素,因此了解这一人群的相关知识至关重要。
本研究的主要目的是分析这一特定人群更广泛的步态特征,并根据不同的测试条件对其进行区分。
两个参与 SPRINTT 项目的中心,具备高科技步态分析能力,对 115 名肌肉量和身体表现均较低的社区居住老年人进行了横断面描述性研究。在不同条件下收集了 13 个步态参数的参考值:通常的步行速度、快速步行速度和同时命名动物时的通常步行速度。
本研究首次提供了由骨骼肌量和身体表现均较低的老年人组成的社区居住人群的时空参考值。与文献中报道的老年人正常时空步态参数相比,该人群存在一些差异。平均步行速度低于 1 米/秒,被认为是易跌倒的社区居住个体的临界点,这意味着更大的跌倒、住院和死亡风险。步长变异性更高,更容易跌倒,并且与认知能力下降的风险增加有关。
本研究代表了为身体表现和骨骼肌量较低的社区居住老年人制定定量参考值的第一步。